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» Accelerating neuroevolutionary methods using a Kalman filter
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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 9 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
14 years 9 months ago
Hardware Acceleration for Spatial Selections and Joins
Spatial database operations are typically performed in two steps. In the filtering step, indexes and the minimum bounding rectangles (MBRs) of the objects are used to quickly dete...
Chengyu Sun, Divyakant Agrawal, Amr El Abbadi
TIM
2010
123views Education» more  TIM 2010»
13 years 3 months ago
Reducing Drifts in the Inertial Measurements of Wrist and Elbow Positions
In this paper, we present an inertial-sensor-based monitoring system for measuring the movement of human upper limbs. Two wearable inertial sensors are placed near the wrist and el...
Huiyu Zhou, Huosheng Hu
TIM
2011
151views more  TIM 2011»
13 years 3 months ago
IIR Filter Models of Haptic Vibration Textures
—Haptic tactile feedback is a widely used and effective technique in virtual reality applications. When an object’s surface is explored by stroking it using fingers, finger n...
Vijaya Lakshmi Guruswamy, Jochen Lang, Won-Sook Le...
WCE
2007
13 years 10 months ago
Procedures of Parameters' estimation of AR(1) models into lineal state-space models
—The objective of this paper is to study how algorithms of optimization affect the parametersestimation of Autoregressive AR(1)Models. In our research we have represented the AR...
Rouhia Noomene